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Predicting the growth of morphological families from social and linguistic factors

Abstract:
We present the first study that examines the evolution of morphological families, i.e., sets of morphologically related words such as “trump”, antitrumpism”, and “detrumpify”, in social media. We introduce the novel task of Morphological Family Expansion Prediction (MFEP) as predicting the increase in the size of a morphological family. We create a ten-year Reddit corpus as a benchmark for MFEP and evaluate a number of baselines on this benchmark. Our experiments demonstrate very good performance on MFEP.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.18653/v1/2020.acl-main.649

Authors


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Institution:
University of Oxford
Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Role:
Author
More by this author
Institution:
University of Oxford
Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Role:
Author
ORCID:
0000-0002-5989-3574
Publisher:
ACL Publisher's website
Journal:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics Journal website
Issue:
2020
Pages:
7273–7283
Host title:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Publication date:
2020-07-29
Acceptance date:
2020-04-04
Event title:
2020 Annual Conference of the Association for Computational Linguistics
Event location:
Hyatt Regency Seattle Hotel
Event website:
https://acl2020.org/
Event start date:
2020-07-05T00:00:00Z
Event end date:
2020-07-10T00:00:00Z
DOI:
Language:
English
Keywords:
Pubs id:
1102690
Local pid:
pubs:1102690
Deposit date:
2020-05-03

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